Data Scientist II, Amazon Travel & Events
Amazon (AI roles) · Seattle, Washington, USA
No salary listed. Estimated from 366 salary-disclosed Research roles on this board: $224K–$330K (interquartile range; estimate, not the employer's figure).
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The Amazon Travel & Events (AT&E) Technology Solutions team is looking for a Data Scientist to build intelligent, AI-driven solutions that transform how Amazon manages travel and events at scale. You'll develop machine learning and generative AI systems that improve the customer experience and deliver measurable business value for Amazon's business travelers and events programs.
Working alongside experienced engineers, you'll advance conversational AI, intelligent automation, and data-driven decision making. You'll work hands-on with Amazon's heterogeneous travel data—contracts, booking systems, supplier data, and event logistics—using large-scale compute to accelerate travel and events intelligence.
Key job responsibilities
- Machine Learning Development — Design and implement advanced ML models and algorithms to solve complex problems across the travel and events domain
- Production NLP Systems — Build and optimize large-scale NLP solutions using LLMs and transformer architectures, and take them to production
- Applied GenAI — Adapt foundation models and LLM-based approaches to travel and events challenges through fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG)
- Data Pipeline Architecture — Build efficient, scalable data pipelines and architectures for AI applications on AWS
- Cross-Functional Collaboration — Partner with Travel Operations, Supplier Category, and Travel Technology teams to support data-driven decisions and improve business processes
- Experimentation and Analysis — Design and run rigorous experiments and ablation studies on large-scale datasets, and deliver results with statistical rigor
- Code Quality — Write clean, well-tested, production-quality code and build ML pipelines from prototype through deployment
- Applied Research — Track the latest research in GenAI, Vision-Language Models (VLMs), and multimodal AI, and identify where it can solve team problems - 5+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment
Working alongside experienced engineers, you'll advance conversational AI, intelligent automation, and data-driven decision making. You'll work hands-on with Amazon's heterogeneous travel data—contracts, booking systems, supplier data, and event logistics—using large-scale compute to accelerate travel and events intelligence.
Key job responsibilities
- Machine Learning Development — Design and implement advanced ML models and algorithms to solve complex problems across the travel and events domain
- Production NLP Systems — Build and optimize large-scale NLP solutions using LLMs and transformer architectures, and take them to production
- Applied GenAI — Adapt foundation models and LLM-based approaches to travel and events challenges through fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG)
- Data Pipeline Architecture — Build efficient, scalable data pipelines and architectures for AI applications on AWS
- Cross-Functional Collaboration — Partner with Travel Operations, Supplier Category, and Travel Technology teams to support data-driven decisions and improve business processes
- Experimentation and Analysis — Design and run rigorous experiments and ablation studies on large-scale datasets, and deliver results with statistical rigor
- Code Quality — Write clean, well-tested, production-quality code and build ML pipelines from prototype through deployment
- Applied Research — Track the latest research in GenAI, Vision-Language Models (VLMs), and multimodal AI, and identify where it can solve team problems - 5+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment
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